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\section{Open problems\label{i:challenges}}
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The objective of our work is to design a system that allows a user to access remote 3D content and that guarantees both good quality of service and good quality of experience.
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\chapter{Introduction\label{i}}
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During the last years, 3D acquisition and modeling techniques have made tremendous progress.
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Recent software use 2D images from cameras to reconstruct 3D data, e.g. \href{https://alicevision.org/\#meshroom}{Meshroom} is free and open source software that got almost \numprint{200000} downloads on \href{https://www.fosshub.com/Meshroom.html}{fosshub}, that use \emph{structure-from-motion} and \emph{multi-view-stereo} to infer a 3D model.
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There are more and more devices that are specifically built to harvest 3D data: some still very expensive and provide precise information such as LIDAR (Light Detection And Ranging, as in RADAR but with light instead of radio waves), while some cheaper devices can obtain coarse data such as the Kinect.
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% Furthermore, there is a significant overlap between the 3D content visible from the current point in time to the next point in time (i.e., \textit{temporal data locality}).
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% Both forms of locality lead to content overlaps, thus making a correct prediction easier and a wrong prediction less costly. 3D content overlaps are particularly common in a NVE with open space, such as a 3D archaeological site or a 3D city.
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\input{introduction/challenges}
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